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Álvaro-Ángel Orozco-Gutierrez
Álvaro Ángel Orozco-Guitiérrez – Álvaro Ángel Orozco – Álvaro Á. Orozco – Álvaro Orozco
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- affiliation: Technological University of Pereira, Colombia
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2020 – today
- 2024
- [j19]Cristian Jimenez Castaño
, A. Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Guitiérrez, J. Guerrero-Erazo:
Kreĭn twin support vector machines for imbalanced data classification. Pattern Recognit. Lett. 182: 39-45 (2024) - 2023
- [j18]Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro Ángel Orozco-Guitiérrez
Semi-supervised t-SNE with multi-scale neighborhood preservation. Neurocomputing 550: 126496 (2023) - [j17]Julián Gil González
Correlated Chained Gaussian Processes for Datasets With Multiple Annotators. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4514-4528 (2023) - [c100]Mauricio Castaño, Hernán F. García, Álvaro Á. Orozco, Gloria L. Porras-Hurtado, David Augusto Cárdenas-Peña:
Bayesian Iterative Closest Point for Shape Analysis of Brain Structures. ICPRAM 2023: 920-925 - 2022
- [j16]Maria Camila Maya-Piedrahita, Paula Marcela Herrera-Gómez, Laura Berrío-Mesa, David Augusto Cárdenas-Peña, Álvaro Ángel Orozco-Guitiérrez
Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models. Int. J. Neural Syst. 32(3): 2250008:1-2250008:16 (2022) - [c99]Jonnatan Arias-Garcia, Hernán F. García, Álvaro Á. Orozco, Gloria L. Porras-Hurtado, David Cárdenas-Peña, Jorge Iván Ríos Patiño:
Brain Shape Correspondence Analysis Using Functional Maps. ISVC (2) 2022: 3-12 - [c98]Juan P. V. Minoli, Álvaro Ángel Orozco, Gloria L. Porras-Hurtado, Hernán F. García:
Brain Shape Correspondence Analysis Using Variational Mixtures for Gaussian Process Latent Variable Models. IWINAC (1) 2022: 547-556 - 2021
- [j15]Julián Gil González, Álvaro-Ángel Orozco-Gutierrez
Learning from multiple inconsistent and dependent annotators to support classification tasks. Neurocomputing 423: 236-247 (2021) - [j14]J. Hoyos-Osorio, A. Álvarez-Meza, Genaro Daza-Santacoloma, Álvaro-Ángel Orozco-Gutierrez
Relevant information undersampling to support imbalanced data classification. Neurocomputing 436: 136-146 (2021) - [j13]J. S. Blandon
An enhanced and interpretable feature representation approach to support shape classification from binary images. Pattern Recognit. Lett. 151: 348-354 (2021) - [j12]Andrés F. Valencia-Duque
Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation. Sensors 21(6): 2186 (2021) - [j11]Cristian Alfonso Jimenez Castaño
Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation. Sensors 21(22): 7741 (2021) - [c97]Viviana Gómez-Orozco, Cristian Blanco Martínez, David Augusto Cárdenas-Peña, Paula Marcela Herrera-Gómez, Álvaro Ángel Orozco-Guitiérrez:
EEG representation approach based on Kernel Canonical Correlation Analysis highlighting discriminative patterns for BCI applications. EMBC 2021: 955-958 - [c96]Harold Mauricio Díaz-Vargas
Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net. IWAIPR 2021: 124-133 - [c95]Julián D. Pastrana-Cortes
Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression. IWAIPR 2021: 424-433 - 2020
- [j10]Luis Ariosto Serna Cardona
Classification of Categorical Data Based on the Chi-Square Dissimilarity and t-SNE. Comput. 8(4): 104 (2020) - [j9]Cristian Jimenez Castaño
Enhanced automatic twin support vector machine for imbalanced data classification. Pattern Recognit. 107: 107442 (2020) - [j8]Jorge Fernández-Ramírez
Video-based social behavior recognition based on kernel relevance analysis. Vis. Comput. 36(8): 1535-1547 (2020) - [c94]Maria Camila Maya-Piedrahita, David Cárdenas-Peña
Diagnosis of attention deficit and hyperactivity disorder (ADHD) using Hidden Markov Models. EUSIPCO 2020: 1205-1209 - [c93]S. Galindo-Noreña, David Cárdenas-Peña
CSP-based discriminative capacity index from EEG supporting ADHD diagnosis. EUSIPCO 2020: 1343-1347
2010 – 2019
- 2019
- [j7]Wilson González-Vanegas
AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning. Entropy 21(10): 932 (2019) - [j6]Hernán Darío Vargas Cardona
Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. Expert Syst. Appl. 118: 92-108 (2019) - [c92]Jorge Fernández-Ramírez
Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition. ISVC (2) 2019: 38-49 - [c91]J. A. Hernández-Muriel, J. C. Mejía-Hernández, Julián D. Echeverry-Correa, Álvaro Á. Orozco, David Cárdenas-Peña
HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves. IWINAC (1) 2019: 130-137 - 2018
- [j5]Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Multi-task learning for subthalamic nucleus identification in deep brain stimulation. Int. J. Mach. Learn. Cybern. 9(7): 1181-1192 (2018) - [j4]Julián Gil González, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez
Learning from multiple annotators using kernel alignment. Pattern Recognit. Lett. 116: 150-156 (2018) - [c90]Wilson González-Vanegas
An Automatic Approximate Bayesian Computation Approach Using Metric Learning. CIARP 2018: 12-19 - [c89]Cristian Jimenez
A Data Representation Approach to Support Imbalanced Data Classification Based on TWSVM. CIARP 2018: 55-63 - [c88]Julián Gil González, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco:
Gaussian Processes Regression with Multiple Annotators: When the Annotator Performance Is Not Homogeneous. CIARP 2018: 91-99 - [c87]Cristhian K. Valencia, Andrés M. Álvarez, Edgar A. Valencia, Mauricio A. Álvarez
Information Potential Variability for Hyperparameter Selection in the MMD Distance. CIARP 2018: 279-286 - [c86]J. Castañeda-Gonzalez, A. Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez
An Enhanced Sequential Search Feature Selection Based on mRMR to Support FCD Localization. CIARP 2018: 487-495 - [c85]Viviana Gómez-Orozco, A. Álvarez-Meza, Paula Herrera, Germán Castellanos-Domínguez, Álvaro Orozco:
Short Time EEG Connectivity Features to Support Interpretability of MI Discrimination. CIARP 2018: 699-706 - [c84]Robinson Aguilar, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Piedad Navarro:
Automatic Identification of DBS Parameters from the Volume of Tissue Activated (VTA) Using Support Vector Machines. CIARP 2018: 740-747 - [c83]C. Ramirez, Viviana Gómez-Orozco, Iván De La Pava, Andrés Marino Álvarez-Meza, Julián David Echeverry, Jorge I. Ríos, Álvaro Orozco:
An Automatic Brain Tumor Segmentation Approach Based on Affinity Clustering. CIARP 2018: 766-773 - [c82]Mauricio Castaño
Enhanced Graph Cuts for Brain Tumor Segmentation Using Bayesian Optimization. CIARP 2018: 774-782 - [c81]Iván De La Pava
Gender Effects on an EEG-Based Emotion Level Classification System. CIARP 2018: 810-819 - [c80]A. Valencia-Alzate, J. Castañeda-Gonzalez, J. Hoyos-Osorio
Emotion Recognition with Ensemble Using mRMR-Based Feature Selection. CIARP 2018: 837-845 - [c79]J. S. Blandon
A DTW-Based Representation to Support Static Sign Language Recognition from Binary Images. CIARP 2018: 938-945 - [c78]Cristian A. Torres-Valencia
Emotion Assessment Using Adaptive Learning-Based Relevance Analysis. ICIAR 2018: 193-200 - [c77]J. S. Blandon
Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering. ICIAR 2018: 245-251 - [c76]David A. Jimenez, Hernán F. García, Andrés M. Álvarez, Álvaro Ángel Orozco, Germán Holguín:
A Kernelized Morphable Model for 3D Brain Tumor Analysis. ICIAR 2018: 529-537 - [c75]Cristian Jimenez
Nerve Structure Segmentation from Ultrasound Images Using Random Under-Sampling and an SVM Classifier. ICIAR 2018: 571-578 - [c74]Jorge Fernández-Ramírez
Video-Based Human Action Recognition Using Kernel Relevance Analysis. ISVC 2018: 116-125 - [c73]Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Mauricio A. Álvarez
Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields. ISVC 2018: 371-381 - [c72]Jorge Fernández
Multilayer-Based HMM Training to Support Bearing Fault Diagnosis. IWAIPR 2018: 43-50 - [c71]Jorge Fernández
Student Desertion Prediction Using Kernel Relevance Analysis. IWAIPR 2018: 263-270 - [c70]Keider Hoyos
Imbalanced Data Classification Using a Relevant Information-Based Sampling Approach. IWAIPR 2018: 280-287 - [c69]Hernán F. García, Álvaro Ángel Orozco, Mauricio A. Álvarez
Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures. MLSP 2018: 1-6 - [c68]Wilson González-Vanegas
A Fast Reliability Analysis Approach for Colombian Natural Gas Subnetworks. WEA (2) 2018: 348-356 - 2017
- [j3]Cristian A. Torres-Valencia
SVM-based feature selection methods for emotion recognition from multimodal data. J. Multimodal User Interfaces 11(1): 9-23 (2017) - [j2]Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco:
Dynamic facial landmarking selection for emotion recognition using Gaussian processes. J. Multimodal User Interfaces 11(4): 327-340 (2017) - [c67]Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields. CIARP 2017: 168-176 - [c66]Iván De La Pava
Emotion Assessment by Variability-Based Ranking of Coherence Features from EEG. CIARP 2017: 203-211 - [c65]Julián Gil González, Andrés M. Álvarez, Andrés F. Valencia, Álvaro Á. Orozco:
Automatic Peripheral Nerve Segmentation in Presence of Multiple Annotators. CIARP 2017: 246-254 - [c64]Wilson González-Vanegas
Sparse Hilbert Embedding-Based Statistical Inference of Stochastic Ecological Systems. CIARP 2017: 255-262 - [c63]Keider Hoyos-Osorio
Clustering-Based Undersampling to Support Automatic Detection of Focal Cortical Dysplasias. CIARP 2017: 298-305 - [c62]David A. Jimenez, Hernán F. García, Andrés M. Álvarez, Álvaro Á. Orozco:
3D Probabilistic Morphable Models for Brain Tumor Segmentation. CIARP 2017: 314-322 - [c61]Walter Serna-Serna
Volume Rendering by Stochastic Neighbor Embedding-Based 2D Transfer Function Building. CIARP 2017: 618-626 - [c60]Cristian A. Torres-Valencia
Emotion Assessment Based on Functional Connectivity Variability and Relevance Analysis. IWINAC (1) 2017: 353-362 - [i3]Roger Gomez Nieto, Andrés Marino Álvarez-Meza, Julián David Echeverry Correa, Álvaro Ángel Orozco-Guitiérrez:
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach. CoRR abs/1706.04254 (2017) - 2016
- [c59]Iván De La Pava
A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation. CIARP 2016: 125-133 - [c58]Viviana Gómez-Orozco, Jhon F. Cuellar-Fierro, Hernán F. García, Andrés Álvarez, Mauricio A. Álvarez, Álvaro Orozco, Óscar Alberto Henao:
A Kernel-Based Approach for DBS Parameter Estimation. CIARP 2016: 158-166 - [c57]Diego Agudelo-España, Mauricio A. Álvarez, Álvaro Á. Orozco:
Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models. CIARP 2016: 249-256 - [c56]Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco:
Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures. CIARP 2016: 291-299 - [c55]Cristian A. Torres-Valencia
Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data. CIARP 2016: 443-450 - [c54]Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez:
Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation. CIARP 2016: 493-501 - [c53]Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco:
Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge. CIARP 2016: 502-510 - [c52]Andrés F. López-Lopera, Mauricio A. Álvarez, Álvaro Á. Orozco
Sparse Linear Models Applied to Power Quality Disturbance Classification. CIARP 2016: 521-529 - [c51]Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco:
Gaussian process dynamical models for multimodal affect recognition. EMBC 2016: 850-853 - [c50]Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez:
Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields. EMBC 2016: 1111-1114 - [c49]Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco:
A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images. EMBC 2016: 4133-4136 - [i2]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco:
Generalized Wishart processes for interpolation over diffusion tensor fields. CoRR abs/1606.07968 (2016) - [i1]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco:
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging. CoRR abs/1606.07970 (2016) - 2015
- [c48]Mauricio Orbes-Arteaga
Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models. CIARP 2015: 391-399 - [c47]Fily Mateos Grisales-Franco, Jesús Francisco Vargas-Bonilla
Fall Detection Algorithm Based on Thresholds and Residual Events. CIARP 2015: 575-583 - [c46]Sebastián Gómez-González, Mauricio A. Álvarez
Discriminative Training for Convolved Multiple-Output Gaussian Processes. CIARP 2015: 595-602 - [c45]Cristian Guarnizo
Indian Buffet Process for Model Selection in Latent Force Models. CIARP 2015: 635-642 - [c44]Julián Gil González, Mauricio A. Álvarez
Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes. EMBC 2015: 3089-3092 - [c43]Juan J. Giraldo, Mauricio A. Álvarez
Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering. EMBC 2015: 3101-3104 - [c42]Julián Gil González, Mauricio A. Álvarez
Automatic assessment of voice quality in the context of multiple annotations. EMBC 2015: 6236-6239 - [c41]Mauricio Orbes-Arteaga
Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation. IbPRIA 2015: 300-308 - [c40]Hernán F. García, Juan J. Giraldo, Mauricio A. Álvarez
Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models. IbPRIA 2015: 387-394 - [c39]Julián Gil González, Mauricio A. Álvarez
Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes. IbPRIA 2015: 603-611 - [c38]Andrés F. López-Lopera, Mauricio A. Álvarez
Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity. IbPRIA 2015: 612-620 - [c37]Iván De La Pava
A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation. IbPRIA 2015: 691-699 - [c36]Carlos D. Zuluaga
A Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate Bayesian Computation. ICIAP (1) 2015: 50-61 - [c35]Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Convolved Multi-output Gaussian Processes for Semi-Supervised Learning. ICIAP (1) 2015: 109-118 - [c34]Jhouben J. Cuesta, Mauricio A. Álvarez
Global and Local Gaussian Process for Multioutput and Treed Data. ICIAP (1) 2015: 161-171 - [c33]David Cárdenas-Peña
Information-Based Cost Function for a Bayesian MRI Segmentation Framework. ICIAP (1) 2015: 548-556 - [c32]Mauricio Orbes-Arteaga
Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation. ICIAP (1) 2015: 658-667 - [c31]José Bestier Padilla, Ramiro Arango, Hernán F. García, Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez
NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease. ISVC (1) 2015: 349-358 - [c30]Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco:
Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models. ISVC (1) 2015: 491-500 - [c29]Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields. ISVC (2) 2015: 499-508 - [c28]Cristian A. Torres-Valencia
Dynamic Hand Gesture Recognition Using Generalized Time Warping and Deep Belief Networks. ISVC (2) 2015: 682-691 - [c27]Hernán Darío Vargas Cardona, Andrés F. López-Lopera, Álvaro Á. Orozco, Mauricio A. Álvarez
Gaussian Processes for Slice-Based Super-Resolution MR Images. ISVC (2) 2015: 692-701 - 2014
- [c26]Juan David Vasquez Jaramillo, Mauricio A. Álvarez
Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster. EMBC 2014: 338-341 - [c25]Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery. EMBC 2014: 950-953 - [c24]Cristian A. Torres-Valencia
Multiple-output support vector machine regression with feature selection for arousal/valence space emotion assessment. EMBC 2014: 970-973 - [c23]Pablo A. Alvarado, Mauricio A. Álvarez
A latent force model for describing electric propagation in deep brain stimulation: A simulation study. EMBC 2014: 2617-2620 - [c22]Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco:
Gaussian Process Dynamical Models for Emotion Recognition. ISVC (2) 2014: 799-808 - [c21]Hernán Darío Vargas Cardona, Álvaro Orozco, Mauricio A. Álvarez:
Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis. ISVC (2) 2014: 841-850 - [c20]Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco:
Bayesian Shape Models with Shape Priors for MRI Brain Segmentation. ISVC (2) 2014: 851-860 - 2013
- [c19]Cristian Guarnizo
Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization. EMBC 2013: 993-996 - [c18]Hernán F. García, Álvaro Á. Orozco, Mauricio A. Álvarez
Dynamic physiological signal analysis based on Fisher kernels for emotion recognition. EMBC 2013: 4322-4325 - [c17]Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez
Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference. EMBC 2013: 4326-4329 - [c16]Cristian A. Torres-Valencia
Feature selection for multimodal emotion recognition in the arousal-valence space. EMBC 2013: 4330-4333 - 2012
- [c15]Hernán Darío Vargas Cardona, José Bestier Padilla
NEUROZONE: On-line recognition of brain structures in stereotactic surgery - application to Parkinson's disease. EMBC 2012: 2219-2222 - [c14]Juan Sebastian Hurtado Jaramillo, Diego Luis Guarín, Álvaro Orozco:
Complex networks: Application to pathology detection in voice signals. EMBC 2012: 4229-4232 - [c13]Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez
Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation. EMBC 2012: 4341-4344 - [c12]Hernán García, Augusto Salazar, Álvaro Orozco:
Statistical Models for Emotion Recognition using Facial Expression Analisys. ICINCO (1) 2012: 238-243 - [c11]Diego Luis Guarín, Álvaro Ángel Orozco, Edilson Delgado-Trejos
Nonlinear statistics for bearing diagnosis. ISSPA 2012: 413-418 - [c10]Juan Sebastian Hurtado Jaramillo, Diego Luis Guarín, Álvaro Ángel Orozco:
Pseudo-periodic surrogate data method on voice signals. ISSPA 2012: 505-510 - 2011
- [c9]Diego Luis Guarín, Edilson Delgado-Trejos
Testing for nonlinearity in non-stationary physiological time series. EMBC 2011: 2671-2674 - [c8]Ruben-Dario Pinzon-Morales, Álvaro Ángel Orozco-Guitiérrez
EEG seizure identification by using optimized wavelet decomposition. EMBC 2011: 2675-2678 - 2010
- [c7]Ruben-Dario Pinzon-Morales, Álvaro Ángel Orozco-Guitiérrez
Feature selection using an ensemble of optimal wavelet packet and learning machine: Application to MER signals. CSNDSP 2010: 25-30 - [c6]Damián Alvarez, Álvaro Orozco, Augusto Salazar:
Model-based Feature Extraction for Assessment of Driver-related Fatigue. ICINCO (1) 2010: 295-298 - [c5]Hernán García, Augusto Salazar, Damián Alvarez, Álvaro Orozco:
Driving Fatigue Detection Using Active Shape Models. ISVC (3) 2010: 171-180
2000 – 2009
- 2008
- [j1]Johanna Carvajal González, Milton Orlando Sarria-Paja, Álvaro Ángel Orozco-Guitiérrez, Germán Castellanos-Domínguez:
Reducción de espacios de entrenamiento de HMMS empleando DPCA. Rev. Avances en Sistemas Informática 5(3): 201-212 (2008) - [c4]Andrea Rodríguez-Sánchez, Edilson Delgado-Trejos
Nonlinear Dynamics Techniques for the Detection of the Brain Areas Using MER Signals. BMEI (2) 2008: 198-202 - [c3]Cristian Guarnizo
Microelectrode Signals Segmentation Using Stationary Wavelet Transform. BMEI (2) 2008: 450-454 - 2006
- [c2]Mauricio A. Álvarez
Kernel Principal Component Analysis through Time for Voice Disorder Classification. EMBC 2006: 5511-5514 - [c1]Álvaro Ángel Orozco, Mauricio A. Álvarez
Identification of Spike Sources using Proximity Analysis through Hidden Markov Models. EMBC 2006: 5555-5558
Coauthor Index
[j17] [j6] [j5] [c87] [c77] [c73] [c69] [j3] [j2] [c67] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [i2] [i1] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c2] [c1]
David Cárdenas-Peña
aka: David Augusto Cárdenas-Peña
aka: David Augusto Cárdenas-Peña
Germán Castellanos-Domínguez
aka: César Germán Castellanos-Domínguez
aka: César Germán Castellanos-Domínguez
Hernán García
aka: Hernán F. García
aka: Hernán F. García
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